Jan C. van Gemert

Orcid: 0000-0002-3913-2786

Affiliations:
  • Delft University of Technology, Department of Intelligent Systems


According to our database1, Jan C. van Gemert authored at least 154 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learn & drop: fast learning of cnns based on layer dropping.
Neural Comput. Appl., 2024

CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning.
CoRR, 2024

Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems.
CoRR, 2024

Deep activity propagation via weight initialization in spiking neural networks.
CoRR, 2024

HAVANA: Hierarchical stochastic neighbor embedding for Accelerated Video ANnotAtions.
CoRR, 2024

Pushing the boundaries of event subsampling in event-based video classification using CNNs.
CoRR, 2024

Pushing Joint Image Denoising and Classification to the Edge.
CoRR, 2024

Aligning Object Detector Bounding Boxes with Human Preference.
CoRR, 2024

VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.
CoRR, 2024

GazeHTA: End-to-end Gaze Target Detection with Head-Target Association.
CoRR, 2024

Do Object Detection Localization Errors Affect Human Performance and Trust?
CoRR, 2024

End-to-End Chess Recognition.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Scale Learning in Scale-Equivariant Convolutional Networks.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Towards Single Camera Human 3D-Kinematics.
Sensors, 2023

Can we predict the Most Replayed data of video streaming platforms?
CoRR, 2023

VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.
CoRR, 2023

LAB: Learnable Activation Binarizer for Binary Neural Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Color Equivariant Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Analyzing components of a transformer under different dataset scales in 3D prostate CT segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Understanding weight-magnitude hyperparameters in training binary networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Are current long-term video understanding datasets long-term?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Video BagNet: short temporal receptive fields increase robustness in long-term action recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Non-Destructive Infield Quality Estimation of Strawberries using Deep Architectures.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Using and Abusing Equivariance.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Is there progress in activity progress prediction?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A step towards understanding why classification helps regression.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Objects do not disappear: Video object detection by single-frame object location anticipation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Differentiable Transportation Pruning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

What Affects Learned Equivariance in Deep Image Recognition Models?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Assessment of Parkinson's Disease Severity From Videos Using Deep Architectures.
IEEE J. Biomed. Health Informatics, 2022

Explainability of Deep Learning models for Urban Space perception.
CoRR, 2022

Proximally Sensitive Error for Anomaly Detection and Feature Learning.
CoRR, 2022

Evaluating Context for Deep Object Detectors.
CoRR, 2022

VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.
CoRR, 2022

AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Humans Disagree With the IoU for Measuring Object Detector Localization Error.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Heart rate estimation in intense exercise videos.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep vanishing point detection: Geometric priors make dataset variations vanish.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

NeRD++: Improved 3D-mirror symmetry learning from a single image.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Equal Bits: Enforcing Equally Distributed Binary Network Weights.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory.
IEEE Trans. Image Process., 2021

Data-efficient learning for 3D mirror symmetry detection.
CoRR, 2021

Domain Adaptation for Rare Classes Augmented with Synthetic Samples.
CoRR, 2021

Zero-Shot Domain Adaptation with a Physics Prior.
CoRR, 2021

Heuristics2Annotate: Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression.
CoRR, 2021

VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.
CoRR, 2021

ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility.
Proceedings of the Reproducible Research in Pattern Recognition, 2021

Deep Continuous Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

PUNet: Temporal Action Proposal Generation With Positive Unlabeled Learning Using Key Frame Annotations.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Semi-Supervised Lane Detection With Deep Hough Transform.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Exploiting Learned Symmetries in Group Equivariant Convolutions.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Hallucination In Object Detection - A Study In Visual Part VERIFICATION.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

The Arm-Swing is Discriminative in Video Gait Recognition for Athlete Re-Identification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Investigating transformers in the decomposition of polygonal shapes as point collections.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Spectral Leakage and Rethinking the Kernel Size in CNNs.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Zero-Shot Day-Night Domain Adaptation with a Physics Prior.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

No Frame Left Behind: Full Video Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Frequency learning for structured CNN filters with Gaussian fractional derivatives.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Deep Unsupervised Image Hashing by Maximizing Bit Entropy.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Real-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation.
CoRR, 2020

Efficiency in Real-time Webcam Gaze Tracking.
CoRR, 2020

Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task.
CoRR, 2020

On Sensitive Minima in Margin-Based Deep Distance Learning.
IEEE Access, 2020

Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol.
IEEE Access, 2020

Respecting Domain Relations: Hypothesis Invariance for Domain Generalization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

WeightAlign: Normalizing Activations by Weight Alignment.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

t-EVA: Time-Efficient t-SNE Video Annotation.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Deep Hough-Transform Line Priors.
Proceedings of the Computer Vision - ECCV 2020, 2020

Efficiency in Real-Time Webcam [inline-graphic not available: see fulltext] Tracking.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Top-Down Networks: A coarse-to-fine reimagination of CNNs.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Black Magic in Deep Learning: How Human Skill Impacts Network Training.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Divide and Count: Generic Object Counting by Image Divisions.
IEEE Trans. Image Process., 2019

Running Event Visualization using Videos from Multiple Cameras.
Proceedings of the Proceedings Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports, 2019

Attention-Aware Age-Agnostic Visual Place Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Cross Domain Image Matching in Presence of Outliers.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behaviour Recognition in Untrimmed Videos.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Deep Visual City Recognition Visualization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

ViDeNN: Deep Blind Video Denoising.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Push for Quantization: Deep Fisher Hashing.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph., 2018

Asymmetric kernel in Gaussian Processes for learning target variance.
Pattern Recognit. Lett., 2018

Recurrent Knowledge Distillation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Hand-Tremor Frequency Estimation in Videos.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Using Phase Instead of Optical Flow for Action Recognition.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Sight-Seeing in the Eyes of Deep Neural Networks.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017
Con-Text: Text Detection for Fine-Grained Object Classification.
IEEE Trans. Image Process., 2017

Tubelets: Unsupervised Action Proposals from Spatiotemporal Super-Voxels.
Int. J. Comput. Vis., 2017

One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Active Decision Boundary Annotation with Deep Generative Models.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Video Acceleration Magnification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Object-Extent Pooling for Weakly Supervised Single-Shot Localization.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Large scale Gaussian Process for overlap-based object proposal scoring.
Comput. Vis. Image Underst., 2016

No spare parts: Sharing part detectors for image categorization.
Comput. Vis. Image Underst., 2016

Searching Scenes by Abstracting Things.
CoRR, 2016

Exploring the Long Tail of Social Media Tags.
Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

Featureless: Bypassing feature extraction in action categorization.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Making a Case for Learning Motion Representations with Phase.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Spot On: Action Localization from Pointly-Supervised Proposals.
Proceedings of the Computer Vision - ECCV 2016, 2016

Depth-Aware Motion Magnification.
Proceedings of the Computer Vision - ECCV 2016, 2016

Structured Receptive Fields in CNNs.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Bag-of-Fragments: Selecting and Encoding Video Fragments for Event Detection and Recounting.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Per-patch metric learning for robust image matching.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Objects2action: Classifying and Localizing Actions without Any Video Example.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

What do 15, 000 object categories tell us about classifying and localizing actions?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

APT: Action localization proposals from dense trajectories.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Robustifying Descriptor Instability Using Fisher Vectors.
IEEE Trans. Image Process., 2014

Evaluation of Color Spatio-Temporal Interest Points for Human Action Recognition.
IEEE Trans. Image Process., 2014

MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video.
Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014

The Rijksmuseum Challenge: Museum-Centered Visual Recognition.
Proceedings of the International Conference on Multimedia Retrieval, 2014

Déjà Vu: - Motion Prediction in Static Images.
Proceedings of the Computer Vision - ECCV 2014, 2014

Nature Conservation Drones for Automatic Localization and Counting of Animals.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Action Localization with Tubelets from Motion.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Spot the differences: from a photograph burst to the single best picture.
Proceedings of the ACM Multimedia Conference, 2013

Con-text: text detection using background connectivity for fine-grained object classification.
Proceedings of the ACM Multimedia Conference, 2013

Automatic Egyptian hieroglyph recognition by retrieving images as texts.
Proceedings of the ACM Multimedia Conference, 2013

Evaluation of Color STIPs for Human Action Recognition.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Object Reading: Text Recognition for Object Recognition.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Per-patch Descriptor Selection Using Surface and Scene Properties.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Exploiting photographic style for category-level image classification by generalizing the spatial pyramid.
Proceedings of the 1st International Conference on Multimedia Retrieval, 2011

Interactive decision making using dissimilarity to visually represented prototypes.
Proceedings of the 6th IEEE Conference on Visual Analytics Science and Technology, 2011

2010
Visual Word Ambiguity.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Comparing compact codebooks for visual categorization.
Comput. Vis. Image Underst., 2010

2009
Episode-Constrained Cross-Validation in Video Concept Retrieval.
IEEE Trans. Multim., 2009

2008

National Institute of Informatics, Japan at TRECVID 2008.
Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008

Emotional valence categorization using holistic image features.
Proceedings of the International Conference on Image Processing, 2008

Kernel Codebooks for Scene Categorization.
Proceedings of the Computer Vision, 2008

2007
The MediaMill TRECVID 2007 Semantic Video Search Engine.
Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007

2006
Color invariant object recognition using entropic graphs.
Int. J. Imaging Syst. Technol., 2006

The MediaMill TRECVID 2006 Semantic Video Search Engine.
Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006

MediaMill: Video Search using a Thesaurus of 500 Machine Learned Concepts.
Proceedings of the Poster and Demo Proceedings of the 1st International Conference on Semantic and Digital Media Technologies, 2006

The mediamill large.lexicon concept suggestion engine.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

The challenge problem for automated detection of 101 semantic concepts in multimedia.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

The influence of cross-validation on video classification performance.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

Robust Scene Categorization by Learning Image Statistics in Context.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
An Integrated Approach to Text and Image Retrieval- The Lowlands Team at Trecvid 2005.
Proceedings of the 2005 TREC Video Retrieval Evaluation, 2005

The MediaMill TRECVID 2005 Semantic Video Search Engine (Draft Version).
Proceedings of the 2005 TREC Video Retrieval Evaluation, 2005

MediaMill: exploring news video archives based on learned semantics.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

2004
A Speech-in List-out Approach to Spoken User Interfaces.
Proceedings of HLT-NAACL 2004: Short Papers, Boston, Massachusetts, USA, May 2-7, 2004, 2004

Spokenquery: an alternate approach to chosing items with speech.
Proceedings of the 8th International Conference on Spoken Language Processing, 2004

Accessing video archives using interactive search.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

2003
Interactive Search Using Indexing, Filtering, Browsing and Ranking.
Proceedings of the 2003 TREC Video Retrieval Evaluation, 2003

2002
Interactive Indexing and Retrieval of Multimedia Content.
Proceedings of the SOFSEM 2002: Theory and Practice of Informatics, 2002

Genre-Based Search through Biomedical Images.
Proceedings of the 16th International Conference on Pattern Recognition, 2002


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